#!/bin/bash

export CUDA_VISIBLE_DEVICES=0,1,2,3

model_name=Timer
seq_len=672
label_len=576
pred_len=96
output_len=96
patch_len=96
data=merged_forecast

torchrun --nnodes=1 --nproc_per_node=4 run.py \
  --task_name forecast \
  --is_training 1 \
  --seed 1 \
  --root_path ./dataset/$data/ \
  --data_path merged.csv \
  --data custom \
  --model_id merged_forecast_mlp \
  --model $model_name \
  --features M \
  --seq_len $seq_len \
  --label_len $label_len \
  --pred_len $pred_len \
  --output_len $output_len \
  --e_layers 3 \
  --factor 3 \
  --des 'Forecast_Merged_MLP' \
  --d_model 128 \
  --d_ff 256 \
  --batch_size 4 \
  --learning_rate 3e-5 \
  --num_workers 4 \
  --patch_len $patch_len \
  --train_test 1 \
  --itr 1 \
  --gpu 0 \
  --use_ims \
  --use_multi_gpu
